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Examples

Concrete prompts and the commands a well-behaved agent runs under the hood. The agent always reads before it writes, and asks before side-effecting writes.

Read an issue and summarize

Read MUL-123 and tell me what's blocking it.

multica issue get MUL-123 --output json
multica issue comment list MUL-123 --recent 10 --output json
multica issue metadata list MUL-123 --output json

Draft a reply for review

Draft a reply to the latest comment on MUL-123, but don't post it yet.

The agent gathers the thread, writes a draft, and shows it to you. It posts only after you approve:

multica issue comment list MUL-123 --thread <comment-id> --tail 30 --output json
# write reply.md, then (after your approval):
multica issue comment add MUL-123 --parent <comment-id> --content-file ./reply.md
rm ./reply.md

Comment bodies always go through a file and --content-file — never inline --content — so shells don't rewrite backticks, $(), quotes, or newlines.

Triage a new issue

Create a bug issue titled "Login redirect loops" and assign it to me.

multica issue create --title "Login redirect loops" --description-file ./desc.md
# look up the assignee id first, then assign (note: assign uses --to-id, not --assignee-id):
multica workspace member list --output json
multica issue assign <issue-id> --to-id <user-id>

Check linked pull requests

Is MUL-123's PR merged yet?

multica issue pull-requests MUL-123 --output json

Read PR state from Multica rather than guessing from GitHub search or metadata.

Side effects to confirm first

These are not cosmetic — confirm with the user before running them:

  • Posting a comment that @mentions an agent or squad (it enqueues a run).
  • Changing status (todo/backlog/done can enqueue or stop work).
  • Assigning, rerunning, or creating sub-issues.

See skills/multica-cli/SKILL.md for the full command reference and safety rules.